END TO END LEARNING FOR A DRIVING SIMULATOR

END TO END LEARNING FOR A DRIVING SIMULATOR

Convolutional network approach is utilized for training an end-to-end model that would let a car drive itself around the track in a driving simulator by predicting steering angles based on the simulated camera data.

Bibliographic Details
Main Authors: V. F. Alexeev, A. I. Staravoitau, G. A. Piskun, D. V. Likhacheuski
Format: Article
Language:Russian
Published: Educational institution «Belarusian State University of Informatics and Radioelectronics» 2019-06-01
Series:Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
Subjects:
machine learning
computer vision
convolutional network
end-to-end learning
keras
Online Access:https://doklady.bsuir.by/jour/article/view/970

Internet

https://doklady.bsuir.by/jour/article/view/970

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